Sales Engineer, Enterpret

Salary not provided

+ Equity options

Mid and Senior level

New York

Remote from US

More information about location

Automated customer feedback intelligence

Be an early applicant

Automated customer feedback intelligence

21-100 employees

B2BArtificial IntelligenceBusiness IntelligenceMachine LearningSaaSData AnalysisAutomation

Be an early applicant

Salary not provided

+ Equity options

Mid and Senior level

New York

Remote from US

More information about location

21-100 employees

B2BArtificial IntelligenceBusiness IntelligenceMachine LearningSaaSData AnalysisAutomation

Company mission

To enable companies to analyze their customer feedback at scale.

Job

Company

Role

Who you are

3–6 years of experience in Sales Engineering, Solutions Consulting, or another technical pre-sales role at a SaaS company
Strong grasp of APIs, data modeling, and web architecture — comfortable running tailored demos and resolving technical questions across the sales cycle
Bonus points if you’ve worked with AI/ML products or in the Voice of Customer (VoC) space
You take ownership of problems and outcomes and thrive in ambiguity
You have a humble, collaborative mindset — confident in your technical skills, but always eager to learn and help the team win
You’re excited about building in a low-process, high-impact environment with room to shape the role and function

What the job involves

Partner with Account Executives to qualify and drive technical sales opportunities — especially across mid-market and growth-stage companies
Lead technical discovery, tailor demos, and own the product evaluation (POC/pilot) process
Act as the technical point of contact during sales cycles, addressing questions around integration, data, and architecture
Build and maintain demo environments and reusable technical assets to scale the pre-sales process
Collaborate closely with Product, Engineering, and Post-Sales teams to ensure seamless handoffs and tight feedback loops

Application process

Submit your resume, and share a story about a technical sales engagement where you helped win the deal — and what you learned in the process

Our take

Customer feedback is an excellent source of insight for product and customer teams. But pulling useable insights from across different feedback sources can be a daunting task.

Enterpret helps companies to do just this, providing solutions powered by adaptive AI models, that can be tailored to each client's specific customer feedback structure. Through this approach, the platform supplies precise, relevant and granular insights that can support product and revenue growth.

The company boasts customers such as Canva, Notion, Loom and Strava, and impressively doubled its ARR across 2024. With considerable funding behind it, Enterpret plans to continue scaling, as well as deploy no-code AI agents to help customers bridge divides between their teams.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Dec 2024

$20.8m

SERIES A

Mar 2022

$4.3m

SEED

Total funding: $25.1m

Company HQ

SoMa, San Francisco, CA

Leadership

Varun Sharma

(Co-Founder & CEO)

Previously Head of Enterprise Customer Operations (NLP & Emerging Verticals) at Scale AI, Head of Enterprise Customer Success for North America at Amplitude Analytics and Senior Account Manager at LinkedIn.

Arnav Sharma

(Co-Founder & CTO)

Previously Senior Software Engineer at Uber, Researcher at Language Technologies Research Center and Software Developer at Google Summer of Code.

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